Instructions to use l3cube-pune/hindi-marathi-dev-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hindi-marathi-dev-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hindi-marathi-dev-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hindi-marathi-dev-bert") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hindi-marathi-dev-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (de594ef88c1d0209e309f24057fc7d9f888fb7b0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0b88fba
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (b0b77a2f80d4cd9b3085ffc3c8d1f6f2745a03f0) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>216ed90
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